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Research Associate in scalable computational imaging algorithms for astronomy and medicine

WorkplaceEdinburgh, Scotland, United Kingdom
Duration24 months fixed term
Job StartJanuary 2021 - October 2021

The Biomedical and Astronomical Signal Processing group (BASP) at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux, is recruiting multiple postdoctoral research associates for research on “precision robust scalable computational imaging”.

The BASP group is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering and Physical Sciences at HWU. He is also Honorary fellow at the School of Informatics of the University of Edinburgh (UoE), and Academic Guest at the Signal Processing Laboratories of the Ecole Polytechnique Fédérale de Lausanne (EPFL).

The positions are open in the context of a new project “Extreme-scale precision Imaging in Radio Astronomy” (EIRA) awarded by the UK research Councils. EIRA will develop a new generation of computational imaging algorithms simultaneously providing precision (i.e. enabling high resolution and dynamic range imaging), robustness (i.e. including calibration and uncertainty quantification functionalities), and scalability (i.e. able to handle unprecedented image sizes and data volumes). These will be specifically designed for radio astronomy and validated beyond Terabyte image size on high performance computing systems. A technology transfer at more moderate image size in both magnetic resonance imaging and ultrasound imaging in medicine will be performed as proof of their wider applicability. EIRA is led by Prof. Wiaux, jointly with Mr Jackson at the Edinburgh Parallel Computing Centre (EPCC) of UoE, and supported by a unique team of international partners: Prof. Pesquet, from the Digital Vision Centre at Université Paris-Saclay (CentraleSupelec), Prof. Smirnov from the South African Radio Astronomy Observatory (SARAO), Dr Perley from the US National Radio Astronomy Observatory (NRAO), Prof. Laing from the International Square Kilometre Array Organisation (SKAO), Prof. Thiran from the Signal Processing Laboratories of EPFL, Dr van Heeswijk from the Lausanne University Hospital, and Dr Buckley from Siemens Healthineers UK. A team of postdoctoral research associates is being built, spanning all aspects of the project, from theory to application.

We are looking for outstanding candidates with a PhD in electrical engineering, applied mathematics, physics, computer science, or a related discipline. The ideal candidates will have expertise in computational imaging, with either a theory focus (specifically deep learning and optimisation, including plug-and-play methods), or an application focus (specifically radio-astronomical, magnetic resonance, or ultrasound imaging, including simulation work and real data analysis). Competence across theory and application is a plus.

The postholders will be committed to cutting-edge research towards the design of scalable algorithms for precision computational imaging, including calibration and uncertainty quantification functionalities. The research will be developed as a collaborative effort by the research associate team, under the supervision of Prof. Wiaux and with the support of the whole consortium. Outstanding candidates may also be granted responsibility for co-supervising a PhD student at BASP on a subject related to their research.

The positions are initially for 2 years, renewable depending on research progress. HWU offers attractive salaries, based on experience and excellence criteria.

Contact and Address

Expressions of interest should be sent by email to Prof. Wiaux. Applications should consist of a single PDF (including a motivation letter, CV, publication list, and names of 3 references) and be submitted via Heriot-Watt website https://www.hw.ac.uk/uk/jobs/job_SVJDMjgyMjQ.htm

Screening of candidates will start in November 2020, and continue until the position is filled.
Start date: January 2021 – October 2021.



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